Abstract:
This report shows how DRASTIC model techniques were applied in assessing groundwater vulnerability in Pallisa District. Groundwater pollution has emerged as a major economic, social and environmental problem in Pallisa district. The best way of dealing with groundwater pollution is to take appropriate measures to arrest leaching of pollutants especially in vulnerable areas. This requires a prediction system for areas with high pollution potentials based on scientific inputs. Geographical information system was used to generate GIS based vulnerability model parameters to obtain vulnerability index map for Pallisa district. The software used different inputs such as the soil data, land use data, water well data, Rainfall data, slope data and lithologic data. Water quality analysis was also carried out to characterize groundwater quality